Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/853
Title: An improved PSO method with application to multimodal functions of inverse problems
Authors: Ho, SL 
Yang, S
Ni, G
Wong, KF
Keywords: Design optimization
Evolutionary algorithm
Global optimal method
Particle swarm optimization (PSO) method
Issue Date: Apr-2007
Publisher: IEEE
Source: IEEE transactions on magnetics, Apr. 2007, v. 43, no. 4, p. 1597-1600 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: Improvements that use new formulas and strategies for updating the particles' velocity and position, craziness, adaptive velocity adjustment scheme, and the use of a simple refinement searching scheme and so on are proposed on particle swarm optimization (PSO) methods to enhance their performances. Numerical results are given to validate the feasibility and to demonstrate the merits of the proposed method.
URI: http://hdl.handle.net/10397/853
ISSN: 0018-9464
DOI: 10.1109/TMAG.2006.892108
Rights: © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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